Model to estimate municipal fiscal performance using the multiple linear regression method

被引:0
|
作者
Delgado, Guadalupe de Jesus Madrigal [1 ]
机构
[1] Univ Autonoma Sinaloa, Fac Contaduria & Adm, Culiacan, Mexico
来源
ECONOMIA SOCIEDAD Y TERRITORIO | 2024年 / 24卷 / 74期
关键词
multiple linear regression; forecast model; EVIEWS; municipal finance; fiscal performance; PROPERTY-TAX COLLECTION; MEXICO; DETERMINANTS;
D O I
10.22136/est20241939
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
The objective of this research is to determine a model to help municipalities estimate their performance in fiscal evaluations and implement actions to improve the results in their local management. The EVIEWS software was used to calculate the estimated model through multiple linear regression. The results indicate the fiscal capacity, tax autonomy, and property tax are the ones that best explain the fiscal performance of municipalities and also the impact that each of these indicators has on the final result of the evaluations.
引用
收藏
页数:23
相关论文
共 50 条
  • [21] A multiple linear regression GIS module using spatial variables to model orographic rainfall
    Naoum, S
    Tsanis, IK
    JOURNAL OF HYDROINFORMATICS, 2004, 6 (01) : 39 - 56
  • [22] Seasonal ground level ozone prediction using multiple linear regression (MLR) model
    Sarat Kumar Allu
    Shailaja Srinivasan
    Rama Krishna Maddala
    Aparna Reddy
    Gangagni Rao Anupoju
    Modeling Earth Systems and Environment, 2020, 6 : 1981 - 1989
  • [23] Seasonal ground level ozone prediction using multiple linear regression (MLR) model
    Allu, Sarat Kumar
    Srinivasan, Shailaja
    Maddala, Rama Krishna
    Reddy, Aparna
    Anupoju, Gangagni Rao
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2020, 6 (04) : 1981 - 1989
  • [24] Multiple linear regression to estimate time-frequency electrophysiological responses in single trials
    Hu, L.
    Zhang, Z. G.
    Mouraux, A.
    Iannetti, G. D.
    NEUROIMAGE, 2015, 111 : 442 - 453
  • [25] Performance Prediction of Spark Based on the Multiple Linear Regression Analysis
    Dong, Lu
    Li, Peng
    Xu, He
    Luo, Baozhou
    Mi, Yu
    PARALLEL ARCHITECTURE, ALGORITHM AND PROGRAMMING, PAAP 2017, 2017, 729 : 70 - 81
  • [26] Building energy performance forecasting: A multiple linear regression approach
    Ciulla, G.
    D'Amico, A.
    APPLIED ENERGY, 2019, 253
  • [27] Using the Multiple Linear Regression Method for CO2 Flooding Evaluation in the Daqing Oilfield
    Wang, Zhenhua
    Hou, Jirui
    Hao, Hongda
    Wang, Cheng
    Wang, Likun
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [28] A Multiple Linear Regression Based High-Performance Error Prediction Method for Reversible Data Hiding
    Ma, Bin
    Wang, Xiaoyu
    Li, Bing
    Shi, Yunqing
    SECURITY AND PRIVACY IN COMMUNICATION NETWORKS, SECURECOMM 2018, PT II, 2018, 255 : 441 - 452
  • [29] A Multiple Linear Regression Based High-Performance Error Prediction Method for Reversible Data Hiding
    Ma, Bin
    Wang, Xiaoyu
    Li, Bing
    Shi, Yunqing
    CLOUD COMPUTING AND SECURITY, PT IV, 2018, 11066 : 135 - 146
  • [30] Parametric optimization of ambient and cryogenic loop heat pipes using multiple linear regression method
    Zhao, Chenyang
    Li, Nanxi
    Jiang, Zhenhua
    Zhou, Xue
    Wu, Yinong
    INTERNATIONAL JOURNAL OF REFRIGERATION, 2024, 161 : 145 - 163